Literature DB >> 30892600

Frozen-Section Checklist Implementation Improves Quality and Patient Safety.

Yigu Chen1, Kevin R Anderson1, Jia Xu1, Jeffrey D Goldsmith1,2, Yael K Heher1.   

Abstract

OBJECTIVES: An intraoperative consultation (IOC) checklist was developed and implemented aimed at standardizing slide labeling and monitoring metrics central to quality and safety in surgical pathology.
DESIGN: Data were collected for all IOC cases over a 9-month period. Slide labeling defect rates and IOC turnaround time (TAT) were recorded and compared for the pre- and postimplementation periods.
RESULTS: In total, 839 IOC cases were analyzed. Preintervention slide labeling showed that 85% of cases contained at least one defect (n = 565). Postintervention data revealed that 27% of cases contained at least one defect (n = 274). The improvement was statistically significant (P < .001). Mean TAT was 21.6 minutes preintervention vs 23.2 minutes postintervention, and the change was insignificant (P = .071).
CONCLUSIONS: The implementation of a standardized IOC reduced slide labeling error. This improvement did not affect mean TAT and may have the increased quality of IOC TAT data reporting. Other metrics affecting patient safety and quality were monitored and standardized. © American Society for Clinical Pathology, 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Frozen section; Intraoperative consultation; Patient safety; Quality improvement; Safety

Mesh:

Year:  2019        PMID: 30892600     DOI: 10.1093/ajcp/aqz009

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  3 in total

1.  Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections.

Authors:  Young-Gon Kim; Sungchul Kim; Cristina Eunbee Cho; In Hye Song; Hee Jin Lee; Soomin Ahn; So Yeon Park; Gyungyub Gong; Namkug Kim
Journal:  Sci Rep       Date:  2020-12-14       Impact factor: 4.379

2.  Challenge for Diagnostic Assessment of Deep Learning Algorithm for Metastases Classification in Sentinel Lymph Nodes on Frozen Tissue Section Digital Slides in Women with Breast Cancer.

Authors:  Young-Gon Kim; In Hye Song; Hyunna Lee; Sungchul Kim; Dong Hyun Yang; Namkug Kim; Dongho Shin; Yeonsoo Yoo; Kyowoon Lee; Dahye Kim; Hwejin Jung; Hyunbin Cho; Hyungyu Lee; Taeu Kim; Jong Hyun Choi; Changwon Seo; Seong Il Han; Young Je Lee; Young Seo Lee; Hyung-Ryun Yoo; Yongju Lee; Jeong Hwan Park; Sohee Oh; Gyungyub Gong
Journal:  Cancer Res Treat       Date:  2020-06-30       Impact factor: 4.679

3.  Integrating the Health-care Enterprise Pathology and Laboratory Medicine Guideline for Digital Pathology Interoperability.

Authors:  Rajesh C Dash; Nicholas Jones; Riki Merrick; Gunter Haroske; James Harrison; Craig Sayers; Nick Haarselhorst; Mikael Wintell; Markus D Herrmann; François Macary
Journal:  J Pathol Inform       Date:  2021-03-24
  3 in total

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